A detector of DTTB based passive radar using FRFT and Hough transform

Jin Lu Yang*, Tao Shan, Ran Tao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Detecting weak moving targets is an important task for digital television terrestrial broadcasting (DTTB) based passive radar. The cross ambiguity function (CAF) suffers from the range and Doppler frequency migrations caused by the velocity and acceleration of the targets. The integration gain can't increase anymore. A new detector is proposed for this problem. In this detector, the fractional Fourier transform (FRFT) is used to compensate the Doppler frequency migration, and the Hough transform is utilized to accumulate the echo of the moving targets during the long integration time. The block diagram and the procedure of this detector are given. Simulation results show that the proposed method can detect weak moving targets effectively.

Original languageEnglish
Title of host publicationProceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
Pages212-215
Number of pages4
DOIs
Publication statusPublished - 2010
Event1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 - Harbin, China
Duration: 17 Sept 201019 Sept 2010

Publication series

NameProceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010

Conference

Conference1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
Country/TerritoryChina
CityHarbin
Period17/09/1019/09/10

Keywords

  • Fractional Fourier transform
  • Hough transform
  • Passive radar

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